IDEAS home Printed from https://ideas.repec.org/a/taf/lstaxx/v48y2019i24p6019-6037.html
   My bibliography  Save this article

The Gerber-Shiu function for the compound Poisson Omega model with a three-step premium rate

Author

Listed:
  • Zhongqin Gao
  • Jingmin He

Abstract

The compound Poisson Omega model is considered in the presence of a three-step premium rate. Firstly, the integral equations and the integro-differential equations for the Gerber-Shiu expected discounted penalty function are derived. Secondly, the integro-differential equations for the Gerber-Shiu expected discounted penalty function are determined in three different initial conditions. The results are then used to find the bankruptcy probability. Finally, the special cases where the claim size distribution is exponential be discussed in some detail in order to illustrate the effect of the model with three-step premium rate.

Suggested Citation

  • Zhongqin Gao & Jingmin He, 2019. "The Gerber-Shiu function for the compound Poisson Omega model with a three-step premium rate," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(24), pages 6019-6037, December.
  • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:24:p:6019-6037
    DOI: 10.1080/03610926.2018.1524488
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03610926.2018.1524488
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03610926.2018.1524488?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:lstaxx:v:48:y:2019:i:24:p:6019-6037. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/lsta .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.